FSFootyScout
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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Konrad Laimer

Bayern Munich · Right Back · DEF

Matches observed1
Pass attempts61
Limited sample

Actual completion

91.8%

56 completed passes

Pass difficulty

93.3%

How difficult a pass was to complete.

Actual vs. expected passing

-1.5 pp

-0.9 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

DEF context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.

Insufficient eligible position metrics for a meaningful radar.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

93.3%

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Under-pressure pass rate

19.7%

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Progressive pass rate

4.9%

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Long-pass rate

1.6%

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Average forward distance

-0.6 units

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Positive forward distance / 100 passes

464.1 units

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Final-third entries / 100 passes

6.557

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Carry share of actions

44.3%

58th percentile among DEF players

n = 94 eligible peers · sample 106

Progressive carry rate

6.4%

85th percentile among DEF players

n = 87 eligible peers · sample 47

Progressive action rate

5.7%

20th percentile among DEF players

n = 94 eligible peers · sample 106

Under-pressure action rate

19.8%

74th percentile among DEF players

n = 94 eligible peers · sample 106

Shots / observed match

2.00 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

6.2%

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

-1.5 pp

Unavailable among DEF players

n = 23 eligible peers · sample 61

requires 100 passes

Under-pressure completion above expected

-13.1 pp

Unavailable among DEF players

n = 13 eligible peers · sample 12

requires 20 pressure passes

Progressive completion above expected

-17.7 pp

Unavailable among DEF players

n = 17 eligible peers · sample 3

requires 20 progressive passes

Long-pass completion above expected

+2.0 pp

Unavailable among DEF players

n = 21 eligible peers · sample 1

requires 20 long passes

Goals above expected

-0.125

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.004

40th percentile among DEF players

n = 94 eligible peers · sample 106

Weak split-half stability in the current 34-match product cohort.

Passing impact / 100 passes

-0.078

30th percentile among DEF players

n = 94 eligible peers · sample 59

Weak split-half stability in the current 34-match product cohort.

Carrying impact / 100 carries

0.106

78th percentile among DEF players

n = 87 eligible peers · sample 47

Moderate split-half stability; descriptive rather than latent ability.

Progressive-action impact / 100 actions

0.020

62nd percentile among DEF players

n = 94 eligible peers · sample 106

Weak split-half stability in the current 34-match product cohort.

Under-pressure impact / 100 actions

-0.011

11th percentile among DEF players

n = 94 eligible peers · sample 106

Weak split-half stability in the current 34-match product cohort.

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.477

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+1.63 z
Under-pressure pass rate+1.34 z
Progressive-pass rate-1.56 z
Long-pass rate-2.14 z
Positive forward distance / 100 passes-1.70 z
Carry share of actions+0.14 z

Bars are z-scores relative to eligible positional peers, not percentiles or ratings. Distance-based style separation, not a probability. Smaller values mean the player lies nearer the boundary between the two archetypes.

Leverkusen Role Fit

DEF role

How closely a player's playing style matches this role. Compared with Bayer Leverkusen's observed DEF role.

Role distance · lower is closer1.071
CloserFarther

Strongest alignment

  • Carry Share Of Actions
  • Positive Forward Distance Per 100 Passes
  • Progressive Pass Rate

Largest difference

Pressure Pass Rate

limited sampleObserved across 1 matchesRole: 34 matches · 9 contributors

Role Fit measures how closely a player's observed playing style resembles Bayer Leverkusen's observed positional-role style. It does not predict transfer success or future performance.

Expected Goals

Non-penalty shooting

Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.

Limited sample

Shots

2

1 matches observed

Goals

0

Total xG

0.1

Goals above expected

-0.1

xG / shot

0.1

0.0% goals / shot

Limited sample: fewer than 20 non-penalty shots.

Campos visualization

Shot map

Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.

Shots2
Goals0
xG0.12
xG0.00 – 1.00
Foot
Corner
Green outline = GoalNormal outline = Non-goal

Attacking impact

Impact of passes and carries

Measures how much each pass or carry changed the expected attacking value of a possession. Positive values improved the attack; negative values reduced it.

Reliable sample

Overall impact / 100 actions

+0.004

Passing impact / 100 passes

-0.078

Carrying impact / 100 carries

+0.106

Progressive-action impact / 100 actions

+0.020

Under-pressure impact / 100 actions

-0.011

106 actions · 59 passes · 47 carries · 59.4% increased attacking value

Campos visualization

Carry value map

Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.

Situational execution

Under pressure

12 attempts

Limited sample
Actual
75.0%
Pass difficulty
88.1%
Actual vs. expected passing
-13.1 pp

Limited sample — interpret this split cautiously.

Progressive passing

3 attempts

Limited sample
Actual
66.7%
Pass difficulty
84.3%
Actual vs. expected passing
-17.7 pp

Limited sample — interpret this split cautiously.

Long passing

1 attempts

Limited sample
Actual
100.0%
Pass difficulty
98.0%

Progression profile

Progressive-pass rate

4.9%

Pressure-pass rate

19.7%

Average forward distance

-0.6 m

Positive forward distance / 100

464.1 m

Final-third entries / 100

6.6

Campos visualization

Pass map

Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.

Showing 1–61 of 61 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
99.1%
Outcome
Completed
Attacking impact
0.0025
Value before
0.0031
Value after
0.0056
Length
23.0 m
Context
Under pressure
Event clocks are not retained in the pass API.

Similar playing styles

Style similarity compares position-relative playing style across passing and carrying tendencies. Scores are not ability ratings.

100 means identical observed profiles; 50 is about the median same-position playing style match. Not a probability.

Limited sample: this player's style profile is based on 1 observed match, so nearest-neighbor rankings may be less stable.

#1 · Same position group

Sacha Boey

Bayern Munich · Left Wing Back

Style similarity

76.6 / 100

Progressive Pass RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#2 · Same position group

Christian Groß

Werder Bremen · Center Back

Style similarity

65.9 / 100

Actual vs. expected passing
+2.0 pp

Limited sample — interpret this split cautiously.

Carry Share Of Actions
Expected Completion Rate
Progressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#3 · Same position group

Jonathan Tah

Bayer Leverkusen · Center Back

Style similarity

59.6 / 100

Progressive Pass RateExpected Completion RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 31 matches

#4 · Same position group

Aurélio Gabriel Ulineia Buta

Eintracht Frankfurt · Right Wing Back

Style similarity

58.5 / 100

Positive Forward Distance Per 100 PassesCarry Share Of ActionsProgressive Pass Rate

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

#5 · Same position group

Mads Pedersen

Augsburg · Right Back

Style similarity

58.0 / 100

Pressure Pass RateLong Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 1 matches

#6 · Same position group

Noussair Mazraoui

Bayern Munich · Right Wing Back

Style similarity

57.2 / 100

Positive Forward Distance Per 100 PassesLong Pass RateCarry Share Of Actions

Sample support: Limited · 1 limiting matches

Observed: 1 vs 2 matches

Sample support uses the lower observed-match count in each pair. Lower coverage means a measured profile may vary more with additional matches; it never changes the style similarity or ranking.